Izaskun Oregui

PhD

Izaskun Oregi received the degree in Physichs from the University of the Basque Country, Spain, in 2011. In 2012 and 2016 she got her M.Sc. degrees in Physics of Complex Networks from the Politechnical University of Madrid and in Mathematical Engineering from the Universidad Complutense of Madrid, respectively. She is currently a PhD student at TECNALIA. Her main areas of research interest are on-line and off-line time series data mining, supervised/unsupervised classification and adversarial machine learning.

CONTACT INFORMATION:

  • +34 664 119 377
  • izaskun.oregui@tecnalia.com

PUBLICATIONS

  • A. D. Martinez, E. Osaba, I. Oregi, I. Fister, I. Fister, and J. D. Ser, “Hybridizing differential evolution and novelty search for multimodal optimization problems,” in Proceedings of the genetic and evolutionary computation conference companion, 2019, p. 1980–1989.
    [Bibtex] 
    @inproceedings{martinez2019hybridizing,
title={Hybridizing differential evolution and novelty search for multimodal optimization problems},
author={Martinez, Aritz D and Osaba, Eneko and Oregi, Izaskun and Fister, Iztok and Fister, Iztok and Ser, Javier Del},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference Companion},
pages={1980--1989},
year={2019}
}
  • J. Del Ser, I. Lana, E. L. Manibardo, I. Oregi, E. Osaba, J. L. Lobo, M. N. Bilbao, and E. I. Vlahogianni, “Deep echo state networks for short-term traffic forecasting: performance comparison and statistical assessment,” Arxiv preprint arxiv:2004.08170, 2020.
    [Bibtex] 
    @article{del2020deep,
title={Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment},
author={Del Ser, Javier and Lana, Ibai and Manibardo, Eric L and Oregi, Izaskun and Osaba, Eneko and Lobo, Jesus L and Bilbao, Miren Nekane and Vlahogianni, Eleni I},
journal={arXiv preprint arXiv:2004.08170},
year={2020}
}
  • I. Laña, J. Del Ser, M. Vélez, and I. Oregi, “Joint feature selection and parameter tuning for short-term traffic flow forecasting based on heuristically optimized multi-layer neural networks,” in International conference on harmony search algorithm, 2017, p. 91–100.
    [Bibtex] 
    @inproceedings{lana2017joint,
title={Joint feature selection and parameter tuning for short-term traffic flow forecasting based on heuristically optimized multi-layer neural networks},
author={La{\~n}a, Ibai and Del Ser, Javier and V{\'e}lez, Manuel and Oregi, Izaskun},
booktitle={International conference on harmony search algorithm},
pages={91--100},
year={2017},
organization={Springer, Singapore}
}
  • E. Villar-Rodriguez, J. Del Ser, I. Oregi, M. N. Bilbao, and S. Gil-Lopez, “Detection of non-technical losses in smart meter data based on load curve profiling and time series analysis,” Energy, vol. 137, p. 118–128, 2017.
    [Bibtex] 
    @article{villar2017detection,
title={Detection of non-technical losses in smart meter data based on load curve profiling and time series analysis},
author={Villar-Rodriguez, Esther and Del Ser, Javier and Oregi, Izaskun and Bilbao, Miren Nekane and Gil-Lopez, Sergio},
journal={Energy},
volume={137},
pages={118--128},
year={2017},
publisher={Pergamon}
}
  • I. Oregi, J. Del Ser, A. Pérez, and J. A. Lozano, “Nature-inspired approaches for distance metric learning in multivariate time series classification,” in 2017 ieee congress on evolutionary computation (cec), 2017, p. 1992–1998.
    [Bibtex] 
    @inproceedings{oregi2017nature,
title={Nature-inspired approaches for distance metric learning in multivariate time series classification},
author={Oregi, Izaskun and Del Ser, Javier and P{\'e}rez, Aritz and Lozano, Jos{\'e} A},
booktitle={2017 IEEE Congress on Evolutionary Computation (CEC)},
pages={1992--1998},
year={2017},
organization={IEEE}
}
  • I. Oregi, A. Pérez, J. Del Ser, and J. A. Lozano, “On-line dynamic time warping for streaming time series,” in Joint european conference on machine learning and knowledge discovery in databases, 2017, p. 591–605.
    [Bibtex] 
    @inproceedings{oregi2017line,
title={On-line dynamic time warping for streaming time series},
author={Oregi, Izaskun and P{\'e}rez, Aritz and Del Ser, Javier and Lozano, Jos{\'e} A},
booktitle={Joint European Conference on Machine Learning and Knowledge Discovery in Databases},
pages={591--605},
year={2017},
organization={Springer, Cham}
}
  • I. Oregi, J. Del Ser, A. Perez, and J. A. Lozano, “Adversarial sample crafting for time series classification with elastic similarity measures,” in International symposium on intelligent and distributed computing, 2018, p. 26–39.
    [Bibtex] 
    @inproceedings{oregi2018adversarial,
title={Adversarial sample crafting for time series classification with elastic similarity measures},
author={Oregi, Izaskun and Del Ser, Javier and Perez, Aritz and Lozano, Jose A},
booktitle={International Symposium on Intelligent and Distributed Computing},
pages={26--39},
year={2018},
organization={Springer, Cham}
}
  • I. Oregi, A. Pérez, J. Del Ser, and J. A. Lozano, “On-line elastic similarity measures for time series,” Pattern recognition, vol. 88, p. 506–517, 2019.
    [Bibtex] 
    @article{oregi2019line,
title={On-line Elastic Similarity Measures for time series},
author={Oregi, Izaskun and P{\'e}rez, Aritz and Del Ser, Javier and Lozano, Jose A},
journal={Pattern Recognition},
volume={88},
pages={506--517},
year={2019},
publisher={Pergamon}
}
  • A. Benitez-Hidalgo, A. J. Nebro, J. Garcia-Nieto, I. Oregi, and J. Del Ser, “Jmetalpy: a python framework for multi-objective optimization with metaheuristics,” Swarm and evolutionary computation, vol. 51, iss. 100598, 2019.
    [Bibtex] 
    @article{benitez2019jmetalpy,
title={jMetalPy: a Python Framework for Multi-Objective Optimization with Metaheuristics},
author={Benitez-Hidalgo, Antonio and Nebro, Antonio J and Garcia-Nieto, Jose and Oregi, Izaskun and Del Ser, Javier},
journal={Swarm and Evolutionary Computation},
volume={51},
number={100598},
year={2019}
}
  • A. D. Martinez, E. Osaba, I. Oregi, I. Fister, I. Fister, and J. D. Ser, “Hybridizing differential evolution and novelty search for multimodal optimization problems,” in Proceedings of the genetic and evolutionary computation conference companion, 2019, p. 1980–1989.
    [Bibtex] 
    @inproceedings{martinez2019hybridizing,
title={Hybridizing differential evolution and novelty search for multimodal optimization problems},
author={Martinez, Aritz D and Osaba, Eneko and Oregi, Izaskun and Fister, Iztok and Fister, Iztok and Ser, Javier Del},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference Companion},
pages={1980--1989},
year={2019}
}
  • J. L. Lobo, I. Ballesteros, I. Oregi, and J. Del Ser, “Real-time electrical power prediction in a combined cycle power plant,” Arxiv preprint arxiv:1907.11653, 2019.
    [Bibtex] 
    @article{lobo2019real,
title={Real-time Electrical Power Prediction in a Combined Cycle Power Plant},
author={Lobo, Jesus L and Ballesteros, Igor and Oregi, Izaskun and Del Ser, Javier},
journal={arXiv preprint arXiv:1907.11653},
year={2019}
}
  • J. L. Lobo, I. Oregi, A. Bifet, and J. Del Ser, “Exploiting a stimuli encoding scheme of spiking neural networks for stream learning,” Arxiv preprint arxiv:1908.08018, 2019.
    [Bibtex] 
    @article{lobo2019exploiting,
title={Exploiting a Stimuli Encoding Scheme of Spiking Neural Networks for Stream Learning},
author={Lobo, Jesus L and Oregi, Izaskun and Bifet, Albert and Del Ser, Javier},
journal={arXiv preprint arXiv:1908.08018},
year={2019}
}
  • I. Laña, E. Villar-Rodriguez, U. Etxegarai, I. Oregi, and J. Del Ser, “A question of trust: statistical characterization of long-term traffic estimations for their improved actionability,” in 2019 ieee intelligent transportation systems conference (itsc), 2019, p. 1922–1928.
    [Bibtex] 
    @inproceedings{lana2019question,
title={A Question of Trust: Statistical Characterization of Long-Term Traffic Estimations for their Improved Actionability},
author={La{\~n}a, Ibai and Villar-Rodriguez, Esther and Etxegarai, Urtats and Oregi, Izaskun and Del Ser, Javier},
booktitle={2019 IEEE Intelligent Transportation Systems Conference (ITSC)},
pages={1922--1928},
year={2019},
organization={IEEE}
}
  • J. L. Lobo, I. Oregi, A. Bifet, and J. Del Ser, “Exploiting the stimuli encoding scheme of evolving spiking neural networks for stream learning,” Neural networks, vol. 123, p. 118–133, 2020.
    [Bibtex] 
    @article{lobo2020exploiting,
title={Exploiting the stimuli encoding scheme of evolving Spiking Neural Networks for stream learning},
author={Lobo, Jesus L and Oregi, Izaskun and Bifet, Albert and Del Ser, Javier},
journal={Neural Networks},
volume={123},
pages={118--133},
year={2020},
publisher={Pergamon}
}
  • J. L. Lobo, I. Ballesteros, I. Oregi, J. Del Ser, and S. Salcedo-Sanz, “Stream learning in energy iot systems: a case study in combined cycle power plants,” Energies, vol. 13, iss. 3, p. 740, 2020.
    [Bibtex] 
    @article{lobo2020stream,
title={Stream Learning in Energy IoT Systems: A Case Study in Combined Cycle Power Plants},
author={Lobo, Jesus L and Ballesteros, Igor and Oregi, Izaskun and Del Ser, Javier and Salcedo-Sanz, Sancho},
journal={Energies},
volume={13},
number={3},
pages={740},
year={2020},
publisher={Multidisciplinary Digital Publishing Institute}
}
  • J. Del Ser, I. Lana, E. L. Manibardo, I. Oregi, E. Osaba, J. L. Lobo, M. N. Bilbao, and E. I. Vlahogianni, “Deep echo state networks for short-term traffic forecasting: performance comparison and statistical assessment,” Arxiv preprint arxiv:2004.08170, 2020.
    [Bibtex] 
    @article{del2020deep,
title={Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment},
author={Del Ser, Javier and Lana, Ibai and Manibardo, Eric L and Oregi, Izaskun and Osaba, Eneko and Lobo, Jesus L and Bilbao, Miren Nekane and Vlahogianni, Eleni I},
journal={arXiv preprint arXiv:2004.08170},
year={2020}
}
  • I. Oregi, J. Del Ser, A. Pérez, and J. A. Lozano, “Robust image classification against adversarial attacks using elastic similarity measures between edge count sequences,” Neural networks, 2020.
    [Bibtex] 
    @article{oregi2020robust,
title={Robust image classification against adversarial attacks using elastic similarity measures between edge count sequences},
author={Oregi, Izaskun and Del Ser, Javier and P{\'e}rez, Aritz and Lozano, Jos{\'e} A},
journal={Neural Networks},
year={2020},
publisher={Pergamon}
}